What do you like best about Amazon DynamoDB?
• Serverless Architecture and Scalability:
The fully managed, serverless nature of DynamoDB eliminates the need to manage server infrastructure. The ability to automatically scale resources up or down to meet application demand is exceptional, ensuring performance remains consistent, even with unpredictable workloads.
• Predictable Performance: It delivers consistent, single-digit millisecond latency at any scale. This makes it an ideal choice for mission-critical applications such as e-commerce, gaming, and real-time services where performance is paramount. During high-traffic events, its reliability is proven.
• Global Tables and High Availability:
The Global Tables feature allows for multi-master, multi-region replication, which is crucial for building highly available, globally distributed applications. Replicating data across three different Availability Zones (AZs) by default ensures robust durability and resilience.
• Integrated Security:
Security is robust, with encryption at rest and in transit, along with tight integration with AWS Identity and Access Management (IAM) for granular access control.
• Flexibility and Integration:
As a NoSQL db, it offers flexibility in the data schema, which is beneficial during development when data structures may evolve. It integrates seamlessly with other AWS services like Lambda and others enhancing its overall functionality. Review collected by and hosted on G2.com.
What do you dislike about Amazon DynamoDB?
My main challenge with DynamoDB has been mastering its cost and performance optimization.
While the pay-per-request model is incredibly flexible, it also means that you have to be vigilant. It’s easy for costs to escalate if you’re not careful about how you design your queries.
An inefficient table scan or a “hot key” that gets accessed too frequently can quickly lead to throttled requests and a surprisingly high bill. Review collected by and hosted on G2.com.
